Lattice
The AI-powered people management platform for high-performance cultures and strategic HR.
Enterprise-grade AI recruitment automation for sourcing, screening, and hiring top talent at scale.
HireQuotient is a sophisticated AI-driven recruitment platform engineered for the 2026 talent market, where speed and precision are paramount. Its architecture revolves around three core pillars: an AI-powered sourcing engine that scans multi-platform data to identify passive candidates, an automated outreach module that uses LLMs to personalize engagement, and a high-fidelity assessment suite that evaluates technical and soft skills through simulation. Unlike traditional ATS-adjacent tools, HireQuotient acts as a Talent Intelligence layer that sits atop existing infrastructure (like Greenhouse or Workday), utilizing proprietary scoring algorithms to rank candidates based on role-specific competency matrices. The platform's 2026 positioning emphasizes 'Zero-Bias Screening,' leveraging anonymized evaluation pipelines and structured data outputs to ensure diversity compliance. Technically, it integrates deeply via REST APIs and Webhooks, allowing for real-time data synchronization between sourcing campaigns and internal HRIS systems. It is designed to reduce the time-to-hire by up to 70% while improving the quality of hire through predictive performance modeling.
Uses semantic search and graph theory to identify candidates across 50+ platforms based on skill adjacency rather than just keyword matches.
The AI-powered people management platform for high-performance cultures and strategic HR.
Empathetic Cognitive AI that automates complex human-like interactions with psychometric insights.
The unified recruitment operating system for agile agencies and high-growth talent teams.
Data-driven behavioral science and gamified psychometrics for enterprise talent acquisition.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Generates 1:1 outreach messages using LLMs trained on recruitment best practices, referencing specific candidate achievements.
Interactive, sandbox-style assessments that track behavioral data and technical problem-solving in real-time.
Algorithms that redact demographic data during the initial screening and scoring phase to ensure objectivity.
An AI-powered voice/video bot that conducts first-round screens and provides sentiment analysis.
Automatically updates candidate data in the existing ATS by scraping updated public profiles.
Uses historical hiring data to predict the probability of a candidate accepting an offer or staying for 1+ years.
Recruiters overwhelmed by 1000+ applications for a single software engineering role.
Registry Updated:2/7/2026
Critical roles (e.g., AI Research Scientist) that aren't being filled by active applicants.
Unconscious bias leading to a lack of gender and ethnic diversity in the talent pipeline.